Senior Data Solution Architect

We are in search of a Senior Data Solution Architect to spearhead data-driven projects that leverage scalable platforms, cutting-edge technologies, and machine-learning algorithms. By designing robust solutions, you will be a crucial part in generating value from data, all while driving our organization's digital transformation through data enablement and democratization. Responsibilities Address organization business goals and strategies using best practices in data-, solution-, enterprise- and business- architectures, along with software engineering expertise Conduct architectural activities including business problem analysis, technology landscape identification, significant requirements identification, solution design, and artifact creation Perform software engineering tasks such as coding and data model creation in primary technology stacks, comprehend code and data models for non-primary technology stacks, and apply software design patterns and practices Build and manage data management environments on premise and in the cloud, addressing security, compliance, and regulatory concerns with automation, monitoring, orchestration, and data ingestion Guide the implementation team in integrating and harmonizing data from various sources, building analytical products on the data platform, and managing data product life cycles efficiently Provide data technology consulting services to help clients shape solution visions and make informed decisions under uncertainty Requirements 10+ years of IT experience 5+ years in leadership roles Extensive experience in requirements engineering, solution architecture, systems development, deployment, and maintenance Knowledge in architecture, design patterns, and the technological landscape across at least 3 technology domains including Data Platforms, IoT, and ML Profound knowledge of technology internals for at least 1 technology domain Solid understanding of core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security, and operations Experience in designing, implementing, deploying, troubleshooting, and re-platforming distributed systems both on-premises and in the Cloud Structured knowledge of the entire architecture design process including technology selection, estimation, proposal verification, and documentation Background in all phases of the software development life cycle using various development methodologies and best practices High level of organization and attention to detail Competency in effective communication Fluency in English (B2 level or higher) Nice to have Familiarity with CI/CD and infrastructure automation Flexibility to adapt to evolving technologies and methodologies within data management Capability to drive operations focusing on scaling and cost-efficiency Qualifications in advanced data security and privacy practices Understanding of metadata management and semantic layering within data platforms